Evidence map›Paper›PMID 29117114›Full record

ArticleInternational journal of environmental research and public health2017

Climatic Variables and Malaria Morbidity in Mutale Local Municipality, South Africa: A 19-Year Data Analysis.

Abiodun M Adeola, Joel O Botai, Hannes Rautenbach, Omolola M Adisa, Katlego P Ncongwane, Christina M Botai, Temitope C Adebayo-Ojo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Association between temperature and malaria (1959-2019): a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025
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  20. Forecasting Malaria Morbidity to 2036 Based on Geo-Climatic Factors in the Democratic Republic of Congo.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Abiodun M AdeolaSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa. abiodun.adeola@weathersa.co.za.ORCID 0000-0002-6105-7110
Joel O BotaiSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa. joel.botai@weathersa.co.za.
Hannes RautenbachSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa. hannes.rautenbach@weathersa.co.za.
Omolola M AdisaDepartment of Geography, Geoinformatics & Meteorology, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa. lolaadisa@yahoo.com.ORCID 0000-0002-5733-4664
Katlego P NcongwaneSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa. katlego.ncongwane@weathersa.co.za.
Christina M BotaiSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa. christina.botai@weathersa.co.za.
Temitope C Adebayo-OjoSchool for Health Systems and Public Health, University of Pretoria, Pretoria 0002, South Africa. adebayotc@gmail.com.ORCID 0000-0001-9305-3838
South African Weather Service · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The north-eastern parts of South Africa, comprising the Limpopo Province, have recorded a sudden rise in the rate of malaria morbidity and mortality in the 2017 malaria season. The epidemiological profiles of malaria, as well as other vector-borne diseases, are strongly associated with climate and environmental conditions. A retrospective understanding of the relationship between climate and the occurrence of malaria may provide insight into the dynamics of the disease's transmission and its persistence in the north-eastern region. In this paper, the association between climatic variables and the occurrence of malaria was studied in the Mutale local municipality in South Africa over a period of 19-year. Time series analysis was conducted on monthly climatic variables and monthly malaria cases in the Mutale municipality for the period of 1998-2017. Spearman correlation analysis was performed and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model was developed. Microsoft Excel was used for data cleaning, and statistical software R was used to analyse the data and develop the model. Results show that both climatic variables' and malaria cases' time series exhibited seasonal patterns, showing a number of peaks and fluctuations. Spearman correlation analysis indicated that monthly total rainfall, mean minimum temperature, mean maximum temperature, mean average temperature, and mean relative humidity were significantly and positively correlated with monthly malaria cases in the study area. Regression analysis showed that monthly total rainfall and monthly mean minimum temperature (

Indexed as

ClimateCitiesFemaleHumansIncidenceMalariaMaleMorbidityRegression AnalysisRetrospective StudiesSeasonsSouth AfricaTemperatureclimateenvironmentmalariamorbidity

Identifiers

PMID29117114
PMCPMC5707999
OpenAlexW2767386883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.